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NANJING WINDORISE TECH CO LTD

Overview
  • Total Patents
    13
  • GoodIP Patent Rank
    126,557
About

NANJING WINDORISE TECH CO LTD has a total of 13 patent applications. Its first patent ever was published in 2019. It filed its patents most often in China. Its main competitors in its focus markets computer technology, audio-visual technology and basic communication technologies are IZHIKEVICH EUGENE M, PERCEIVE CORP and SUALAB CO LTD.

Patent filings in countries

World map showing NANJING WINDORISE TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 13

Patent filings per year

Chart showing NANJING WINDORISE TECH CO LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Tao Wei 7
#2 Wang Zhongfeng 5
#3 Lin Jun 3
#4 Li Hui 3
#5 Liu Wenjian 3
#6 Wang Danyang 3
#7 Wang Haonan 3
#8 Xie Xiaoru 2
#9 Qin Zidi 2
#10 Yu Jiangyong 2

Latest patents

Publication Filing date Title
CN112291538A Video monitoring data storage method and device
CN112200192A License plate recognition method and device
CN111931938A Cyclic neural network reasoning operation acceleration system and method based on structured sparsity
CN111932629A Target positioning method and system based on deep neural network
CN112231627A Boundary convolution calculation method and device, computer equipment and readable storage medium
CN111931123A Boundary convolution calculation method and device, hardware accelerator and computer equipment
CN111931921A Ping-pong storage method and device for sparse neural network
CN111931926A Hardware acceleration system and control method for convolutional neural network CNN
CN112132275A Parallel computing method and device
CN111931919A Sparse neural network computing method and device based on systolic array
CN110350922A A kind of binary-coded addressing method and addressing device
CN110334800A A kind of lightweight 3D convolutional network system for video identification
CN110334803A Convolutional calculation method and convolutional neural networks accelerator based on rarefaction Winograd algorithm